About Us Nomic was founded with a simple but ambitious goal: to make biology easier to measure. We’ve developed nELISA , the world’s highest throughput proteomic platform, by tackling some of the toughest challenges in protein profiling through a combination of DNA nanotechnology, high-dimensional flow cytometry, lab automation, and machine learning. Since spinning out of McGill University, we’ve partnered with dozens of top-tier drug discovery groups, including 6 of the top 10 pharma companies, and have profiled over 60 million proteins from more than 400,000 samples to date. Since closing a $42M Series B round, we recently scaled up the platform to meet rapidly growing demand. You can read more about this on our website here. Our state-of-the-art facility is capable of profiling over 2.5 million samples a year, generating 500 million protein assays. We’re a diverse team of engineers, scientists, and problem-solvers who thrive on breaking down difficult challenges using first principles thinking, and we leverage the latest scientific and technological breakthroughs to drive our mission forward. About the Role As our Staff-level Bioinformatics & ML Scientist, you will elevate Nomic’s position as the leader in large-scale proteomics. Your work will set new standards for how proteomic and multi-omics data are analyzed, interpreted, and applied, helping our customers move from raw data to scientific breakthroughs. By enabling new decision-support models, building and expanding our reference datasets, and sharing thought leadership with the broader community, you will help define what’s possible for the field and accelerate discoveries across drug development and biomarker research. You will also ensure Nomic’s customer collaborations deliver high-impact insights and become the gold standard for industry and academia. You will join a cross-functional team and build on existing infrastructure to develop the analysis pipelines, ML models, and product-facing workflows that make proteomic data actionable for customers. Your work will shape the applications layer in the Nomic Portal and support key use cases such as target discovery, perturbation analysis, and translational research. This is a player-coach position, you will mentor and collaborate closely with our engineering, product and data teams as our capabilities grow. What You’ll Be Doing Bioinformatics, ML, and Multi-omics Analysis Build and improve pipelines for proteomic and transcriptomic data: QC, normalization, batch correction, feature engineering, and integration. Develop ML models and analytical methods for target discovery, perturbation and functional genomics analysis, and phenotype classification. Prototype ML-driven approaches and work with engineering teams to productionize them. Scientific Interpretation & Applications Development Interpret multi-omics datasets and connect data patterns to underlying biology. Support analyses involving perturbation screens or functional genomics methods. Define and translate customer analysis needs into specific Portal features and workflows. Customer-Facing Scientific Insights Support customer projects with exploratory and confirmatory analyses. Identify and communicate the insights most relevant to customer decisions. Present data clearly and rigorously in sharable notebooks, presentations, and discussions. Cross-Functional Collaboration & Thought Leadership Work with product, commercial, and scientific teams to define high-impact use cases. Contribute to scientific content that strengthens Nomic’s leadership. What We’re Looking For PhD (or equivalent experience in Bioinformatics, Computational Biology, ML, or a related quantitative field.) Direct experience analyzing proteomics and transcriptomics datasets Experience working with data from target discovery, perturbation, or functional genomics workflows. 5+ years of hands-on experience building bioinformatics or ML pipelines in Python and/or R. Comfortable staying hands-on with coding and analysis while mentoring others. Strong statistical and data-wrangling skills, including QC and normalization. Familiarity with reproducibility and collaborative coding practices. Experience collaborating with engineers, scientists, or product teams. Experience contributing to scientific publications or technical content. Experience with customer-facing scientific work is ideal. Understanding of how pharma and biotech teams evaluate biological data is ideal. Excellent written and verbal communication skills.

About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we’re just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you’re passionate about pushing the boundaries of AI, we want you on board! About the Role As a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real-world AI applications, gaining hands-on experience in model development, data collection, evaluation, and production deployment. You will collaborate with research scientists, engineers, and product teams to help enhance Recraft’s AI-driven creative tools. If you are passionate about machine learning, deep learning, and AI-driven applications, this is a great opportunity to learn and contribute to impactful projects. Key Responsibilities Assist in training, testing, and evaluating machine learning models for real-world applications. Support data collection and processing for model development. Conduct experiments and model evaluations, helping improve accuracy and efficiency. Develop and train large-scale generative models, pushing the boundaries of AI capabilities. Work closely with ML engineers and researchers to implement AI techniques into production workflows. Stay updated with the latest trends in AI and deep learning, contributing fresh ideas to the team. Qualifications The opportunity to work on real-world AI projects in a growing tech company. A collaborative and innovative environment.

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Job Responsibilities: Clinical Outcomes & Quality Analyze the relationship between clinical interventions, utilization patterns, and member outcomes across the Medicare Advantage population Evaluate performance on CMS quality measures (e.g., Stars, HEDIS, CAHPS) and identify drivers of quality gaps and improvement opportunities Assess variation in clinical practice patterns and outcomes across providers, settings, and member subpopulations Partner with Clinical and Quality teams to prioritize interventions that improve outcomes, equity, and quality performance Utilization & Cost Management Conduct detailed analyses of medical utilization (e.g., inpatient admissions, ED use, post-acute care, pharmacy, and high-cost services) Identify inappropriate, avoidable, or low-value utilization and quantify associated cost and quality impacts Support utilization management and care management strategies through economic and outcomes analysis Monitor trends in service use and evaluate the impact of clinical programs on utilization shifts across settings of care ROI & Economic Evaluation Design and execute ROI analyses for care management programs, supplemental benefits, and clinical initiatives Develop economic models to estimate cost savings, quality improvement, and long-term value of interventions Perform cost-effectiveness and budget impact analyses to inform investment and prioritization decisions Track realized vs. expected performance of initiatives and refine assumptions based on real-world results Opportunity Identification & Strategy Proactively identify high-impact opportunities to improve outcomes and reduce total cost of care using claims, clinical, and quality data Segment populations to identify high-risk, rising-risk, and high-opportunity cohorts for targeted intervention Support value-based care and provider performance strategies by identifying opportunities to improve quality and efficiency Translate analytical findings into clear, actionable recommendations for clinical, operational, and executive leadership Cross-Functional Collaboration & Communication Work closely with Clinical, Actuarial, Finance, Network, and Quality teams to align economic insights with operational execution Present findings and recommendations to senior leaders, including Medical Directors and executives Support regulatory and internal reporting by providing clear documentation of methods, assumptions, and results Job Requirements: Experience: Required: 3–7+ years of experience in medical economics, healthcare analytics, or outcomes research, preferably within Medicare Advantage Strong understanding of Medicare Advantage payment, quality programs, and clinical economics Demonstrated experience analyzing healthcare utilization, quality outcomes, and ROI Proficiency in SAS, R, Python, SQL, and/or similar analytical tools Experience working with large claims, encounter, and clinical datasets Education / Training: Master’s degree or PhD in Health Economics, Public Health, Health Services Research, Economics, Biostatistics, or a related field Preferred: Lean Six Sigma, other processes improvement certification, Certified Professional in Healthcare Quality (CPHQ), or Certified Professional in Healthcare Management (CPHM) Specialized Skills: Experience evaluating care management, population health, or value-based care programs Familiarity with CMS Stars measures, risk adjustment, and supplemental benefits Experience partnering directly with clinicians or medical leadership Knowledge of health equity analysis and outcomes stratification Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. 2. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/ . If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com .

• Collaborate with team members to design, develop, and implement AI/ML models for applications such as predictive maintenance, anomaly detection, optimization problems, or natural language processing. • Analyze large datasets from various sources to extract insights and validate model performance. • Develop scripts or tools to automate data preprocessing, feature engineering, or model evaluation workflows. • Document methodologies and results clearly for internal presentations or reports.